The Ultimate Gemini Model Comparison: 2.5 to Gemini 4 Argon

Google now runs two Gemini timelines that no longer move together. The Flash line has raced all the way to Gemini 3.8 Flash, launched September 2, 2026, while the Pro line has been frozen at Gemini 3.1 Pro since February. If you have been hunting for a “Gemini 3.5 Pro” or a “3.6 Pro,” that is the first thing to clear up in any honest Gemini model comparison, because neither one exists yet. Then, on September 30, 2026, Google announced Gemini 4 Argon, its first new flagship since 3.1 Pro, and on October 13 opened it to Google AI Pro and Ultra subscribers and paid API customers. On November 12, 2026 Google added Gemini 4 Hydrogen, a faster Gemini 4 model it now recommends as the upgrade from 3.8 Flash.

This guide maps the entire lineup from Gemini 2.5 through 3.8 Flash and the Gemini 4 models, Argon, Carbon and Hydrogen, one version at a time, with a benchmark and pricing table for each, plus how the models surface inside the Gemini app and a plain recommendation for every use case. You will see exactly why Google split the family in two, what actually changed at each release, and which model is the right default for coding, everyday chat, long documents, and tight budgets.

The Key Takeaways

• Gemini 3.8 Flash, live since September 2, 2026 at an introductory $0.75 / $3.75 per 1M tokens, was Google’s third Flash release in 43 days, and 3.7 Flash and 3.6 Flash sit on the identical rate. It is still on the API, but since November 12 it is no longer on any Gemini app plan.
• There is no Gemini 3.5 Pro or 3.6 Pro. The current flagship Pro is still Gemini 3.1 Pro from February 2026.
• That cheap rate expires. All three of 3.8, 3.7 and 3.6 Flash go back to $1.50 / $7.50 on January 1, 2027, so budget past the new year on the higher number.
• Gemini 3.5 Flash-Lite is the cheapest current model at $0.30 / $2.50 per 1M tokens.
• In the app, the Free plan runs on Auto since October 9, 2026, which sends most prompts to Flash-Lite and, since November 12, harder ones to Gemini 4 Hydrogen; picking Hydrogen yourself needs AI Plus and above. Google’s plan list of November 12 no longer names 3.6, 3.7 or 3.8 Flash. Deep Think stays on AI Ultra, while Gemini Spark reaches AI Pro in the US and 160+ more countries.
• Gemini 4 Argon, Google’s first Gemini 4 model and new flagship, was announced on September 30, 2026 at an introductory $2 / $10 per 1M tokens until November 30, then $4 / $20; since October 13 it is open to Google AI Pro and Ultra subscribers and on the paid API.
• Gemini 4 Carbon, the second Gemini 4 model, was announced on October 28, 2026 and launched in first place on the Artificial Analysis Intelligence Index v5.0 at 59. On v5.0.1 it reads 60.0, second only to Claude Fable 5.2 (64.6) since November 9 and almost ten points ahead of Argon at 50.4, and after a first release to cyber defenders it became generally available on the paid Gemini API on November 10, 2026, at the same introductory $2 / $10 as Argon, and in the Gemini app for Google AI Ultra subscribers.
• Gemini 4 Hydrogen, released on November 12, 2026, is the fast Gemini 4 model, adapted from Carbon, and Google’s recommended upgrade from 3.8 Flash. It costs $1.50 / $7.50 per 1M tokens, is the first Gemini 4 model on the free API tier, and scores 51 on the Artificial Analysis Intelligence Index v5 (read 12 November 2026), one point above Argon. In the app you can pick it from AI Plus up.

The Gemini lineup at a glance (2026)

Google organizes Gemini into three tiers. Pro is the flagship reasoning tier, Flash is the fast everyday workhorse, and Flash-Lite is the budget option. The confusing part is that these tiers no longer share a version number, so the newest Flash (3.8) is four full releases ahead of the newest Pro (3.1). Gemini 4 breaks the pattern again: Argon, Carbon and Hydrogen carry codenames instead of tier names, and Hydrogen, released on November 12, is the fast model Google recommends in place of 3.8 Flash.

Here is the current family, oldest to newest, with the models that matter most in bold.

Two specialist models sit outside the main grid. Gemini 3 Deep Think is an extended-reasoning preview from December 2025, and Gemini 3.5 Flash Cyber, released July 21, is a version of 3.5 Flash fine-tuned to find and patch security vulnerabilities inside Google’s CodeMender system.

Why there’s no Gemini 3.5 Pro (or 3.6 Pro)

The single biggest source of confusion in any Gemini model comparison is the missing Pro releases. When Google shipped 3.5 Flash, then 3.6 Flash, then 3.7 Flash, then 3.8 Flash, many people assumed a matching Pro arrived too. It did not.

According to TechCrunch, Google released three new models on July 21 and pointedly no 3.5 Pro. Bloomberg reporting cited in that coverage says Google hit internal delays and struggled to meet its own performance goals for 3.5 Pro, so it remains in partner testing rather than general release. Product lead Logan Kilpatrick said the company is still testing it and hopes it will “land soon.”

That leaves Gemini 3.1 Pro, from February 2026, as the newest model with Pro in its name. Meanwhile the Flash line kept shipping, which is why the version numbers look mismatched. The takeaway is simple, when you want top-tier Gemini reasoning today, you use Gemini 4 Carbon, on the paid API and Google AI Ultra since November 10, Gemini 4 Argon, on Google AI Pro since October 13, or 3.1 Pro, not a 3.5 or 3.6 Pro that has not been released. In September, Google DeepMind’s Koray Kavukcuoglu said Google “took a little bit of a step back” to focus on its Flash models, and the next flagship Google announced, on September 30, was Gemini 4 Argon rather than a 3.5 Pro.

Gemini 2.5: the legacy three-tier foundation

The 2.5 family is the legacy generation, released across 2025, and it set the three-tier pattern Google still uses. Gemini 2.5 Pro arrived March 25, 2.5 Flash on April 17, and 2.5 Flash-Lite on June 17, each with a 1M-token context window. These models still work and remain a cheaper fallback, but they trail the 3.x family on reasoning, coding, and agentic tasks.

How the 2.5 tiers benchmark and price

At launch, 2.5 Pro topped the LMArena leaderboard and scored 63.8% on SWE-Bench Verified. 2.5 Flash undercut it sharply, and 2.5 Flash-Lite went lower still at $0.10 / $0.40, still the cheapest Gemini rate the API has ever carried. Our guide to AI benchmarks explains what each of those tests actually measures.

When to pick a 2.5 model

Use 2.5 only if you are on older infrastructure or need the lowest possible cost and do not care about frontier quality. For anything new, the 3.x tiers are a clear upgrade at similar or lower prices.

Gemini 3.0: the generation reset

Model Gemini 3 opened the current generation. Gemini 3 Pro launched November 18, 2025 as a preview flagship, followed by Gemini 3 Deep Think on December 4 for harder multi-step reasoning, and Gemini 3 Flash on December 17. This was the jump that reset Google’s benchmark position against ChatGPT and Claude.

Gemini 3.0 benchmarks and pricing

Gemini 3 Pro shipped with a 1M-token context window and 64K output, posting 91.9% on GPQA Diamond, a 1501 Elo on LMArena, and 76.2% on SWE-Bench Verified. Gemini 3 Flash then beat its own Pro sibling on coding, hitting 78% on SWE-Bench Verified at just $0.50 / $3.00 per 1M tokens. Deep Think, an extended-reasoning mode for AI Ultra subscribers, pushed ARC-AGI-2 to 45.1% with code execution.

How the 3.0 generation holds up

The 3.0 models introduced the architecture and long-context work that later versions built on. Most have since been superseded by 3.1 and the newer Flash releases, so treat 3.0 as the foundation rather than a model you would pick today.

Gemini 3.1 Pro: the previous flagship

Gemini 3.1 Pro, released February 19, 2026, is the model to reach for when you need maximum capability. It uses a sparse mixture-of-experts design, handles a 1M-token context window, and outputs up to 64K tokens in a single response. It scores 94.3% on GPQA Diamond and 80.6% on SWE-Bench Verified, both Google's own figures. Independent measurement is less kind: on the Artificial Analysis Intelligence Index v4.3.2, read 25 September 2026, it lands at 29.7, behind the current OpenAI and Anthropic flagships and, more awkwardly for Google, eleven points behind its own Gemini 3.8 Flash at 40.9. The current v5.0.1 (read 11 November 2026) no longer scores 3.1 Pro at all, while Google’s own Gemini 4 Argon reads 50.4 there, and since October 13 anyone on Google AI Pro, Ultra or the paid API can use Argon.

Gemini 3.1 Pro specs and pricing

When to use 3.1 Pro

It is the right choice for complex reasoning, long-document analysis, research, and the hardest agentic coding tasks. Since October 13 it is no longer the strongest Gemini you can use: Gemini 4 Argon is on the same AI Pro plan and the paid API, at the same $2 input price until November 30. 3.1 Pro stays useful for work you have already validated on it.

Gemini 3.5 Flash and Flash-Lite: the mid-2026 workhorses

Gemini 3.5 Flash shipped at Google I/O on May 19, 2026, at $1.50 / $9.00 per 1M tokens with a 1M-token context window, and it notably beat 3.1 Pro on several coding and agentic benchmarks despite being a Flash model. It served as the everyday workhorse until 3.6 replaced it in July.

Gemini 3.5 Flash-Lite: the budget champion

Gemini 3.5 Flash-Lite, released July 21 at $0.30 / $2.50 per 1M tokens, is the current budget champion. Google says it beats the older, larger Gemini 3 Flash outright on some evals, including SWE-Bench Pro and OSWorld-Verified, which makes it a strong price-to-performance pick for high-volume work.

Why the Flash pairing matters

The pairing is the point. Flash covers quality everyday work while Flash-Lite handles the high-volume, cost-sensitive jobs, and both hold a full million-token window. When 3.6 Flash arrived in July it slotted in above 3.5 Flash, 3.7 Flash took the top of the Flash line three weeks later, and 3.8 Flash took it three weeks after that, while Flash-Lite stayed as the value floor throughout. On November 12 Google named Gemini 4 Hydrogen as the upgrade from 3.8 Flash.

Gemini 3.8 Flash: the workhorse before Hydrogen

Gemini 3.8 Flash went generally available on September 2, 2026, three weeks after 3.7 Flash and Google’s third Flash release in 43 days. Every line of the spec sheet carries over unchanged from its predecessor: the same 1M-token context window, the same 64K output limit, the same March 2026 knowledge cutoff, the same modality list and the same launch price. The entire release is about what the model does inside that envelope, and Google tuned this one for long-horizon agents rather than the raw coding focus of 3.7. On November 12, 2026 Google released Gemini 4 Hydrogen as the recommended upgrade from 3.8 Flash, which stays on the API but no longer appears on any Gemini app plan.

Gemini 3.8 Flash pricing and benchmark gains

The price did not move. 3.8 Flash lists at the same introductory $0.75 / $3.75 per 1M tokens as 3.7 and 3.6 Flash, and it carries the same footnote: on January 1, 2027 all three go to $1.50 / $7.50. It beats 3.7 Flash on every row Google published, with the biggest gains on BioMysteryBench Human Difficult (43.5% to 56.5%), Terminal-bench 4.0 (11.2% to 19.1%) and DeepSWE v1.1 (65.3% to 73.7%). It did not sweep the field: in Google's own launch comparison, from September 2026, Claude Opus 5 won the hardest agentic tests, taking Terminal-bench 4.0 51.8% to 19.1% and OSWorld-2.0 75.4% to 59.0%. Anthropic has since replaced Opus 5 with Opus 5.5 and moved Opus 5 to its legacy list, so read that pair as the comparison Google published at launch rather than the current state of the art. Our Gemini 3.8 Flash breakdown has the full 14-row table and the widely republished benchmark figure that turned out to be wrong.

Gemini 3.7 Flash: the previous workhorse

Gemini 3.7 Flash arrived on August 13, 2026, just 23 days after 3.6 Flash, in AI Studio, the Gemini API, Android Studio and the Gemini Enterprise Agent Platform, with the same 1M-token context window and 64K output limit as its predecessor. Unlike the 3.6 release, this one was a genuine capability jump rather than an efficiency pass: coding and agentic scores moved a long way in three weeks. It held the top of the Flash line for exactly three weeks before 3.8 Flash replaced it at the same price.

Gemini 3.7 Flash pricing and benchmark gains

The price halved to $0.75 / $3.75 per 1M tokens, and Google put 3.6 Flash on the identical rate, which is also where 3.8 Flash later landed, so all three cost the same today. Read the footnote before budgeting: those rates are introductory and expire on December 31, 2026, rising to $1.50 / $7.50 in January. On benchmarks, DeepSWE v1.1 climbed from 49.0% to 65.3% and AutomationBench nearly doubled from 17.0% to 30.4%. For the full picture, including the regions Google locked out, see our Gemini 3.7 Flash breakdown.

Gemini 3.6 Flash: the previous workhorse

Gemini 3.6 Flash shipped on July 21, 2026 and was the free Gemini app’s default until October 9, 2026, when free accounts moved to Auto, which sends most prompts to Flash-Lite. It has a 1M-token context window. It is an efficiency upgrade rather than a new frontier tier. It uses about 17% fewer output tokens than 3.5 Flash on the Artificial Analysis Index, with reductions up to 65% on some long-horizon engineering tasks.

Gemini 3.6 Flash pricing and benchmark gains

The price change at launch was often misreported. The cut was output-only: output dropped from $9.00 to $7.50 per 1M tokens while input stayed flat at $1.50. Google has since cut the model again, to $0.75 / $3.75, to match Gemini 3.7 Flash. On benchmarks, DeepSWE rose from 37% to 49%, MLE-Bench from 49.7% to 63.9%, and OSWorld-Verified from 78.4% to 83.0%, per Google’s announcement. For a deeper look at this release, see our full Gemini 3.6 Flash breakdown.

Gemini API pricing compared (2026)

Pricing is where the tier split becomes practical. Flash and Flash-Lite are built for volume, while Pro costs more and is reserved for the tasks that justify it. The table below shows current API rates per 1 million tokens.

Among the 3.x Flash models, Gemini 3.8 Flash delivers the best results, and because 3.6 and 3.7 Flash sit on the same rate there is no price argument for staying on an older one. All three Flash rates are introductory and double on January 1, 2027, to $1.50 / $7.50, which is what Gemini 4 Hydrogen, Google’s recommended upgrade from 3.8 Flash since November 12, costs now. Hydrogen also has a free API tier. If you are running huge volumes of simpler requests, 3.5 Flash-Lite cuts costs further while holding surprisingly strong quality.

The Pro tier used to be metered by prompt size, with a second rate above 200K tokens. It is not any more. Google's current API price card lists one text rate for Gemini 3.1 Pro, $2.00 / $12.00, across its Standard, Batch, Flex and Priority tables, with no long-context split; the $4.00 / $18.00 tier this guide used to show is gone. What Pro does still price separately is image output, at $120 per 1M tokens, which works out to about $0.134 per 1K or 2K image and $0.24 per 4K image. Batch and Flex halve the text rate to $1.00 / $6.00.

How Gemini appears in the app (Free, Plus, Pro, Ultra)

Most people never touch the API. Inside the Gemini app the models show up as consumer plans rather than version numbers, and which release you get depends on what you pay. Since October 9, 2026 the Free plan runs on Auto, mostly Flash-Lite with no model choice, and since November 12 Auto may pass harder prompts to Gemini 4 Hydrogen. AI Plus lets you pick Hydrogen, Flash-Lite and the Pro model, and only AI Pro and Ultra reach Gemini 4 Argon, on AI Pro since October 13, so the paid tiers now buy models as well as higher usage limits and the heavier features. No numbered Flash release appears in the picker any more: Google’s plan list of November 12 names Hydrogen where 3.8 Flash used to be.

The practical read is simple. If you just want a fast assistant for everyday questions, the Free plan still covers it, but since October 9 it runs on Auto, which sends most prompts to Flash-Lite, so AI Plus at $4.99 is the cheapest way to choose Gemini 4 Hydrogen yourself. Step up to AI Pro for Gemini 4 Argon, heavier reasoning, Deep Research and the Gemini Spark agent, which reached Pro in the US on July 23, 2026 and more than 160 additional countries on July 30. Only the AI Ultra plans add Deep Think. Spark is not offered at all in the EEA, the UK, Switzerland or Nigeria.

Gemini benchmarks compared

Benchmarks tell the same split-lineage story, but the scoreboard that told it most clearly has moved on. The last Artificial Analysis Intelligence Index version to score the whole family, v4.3.2 (read 25 September 2026), showed the Flash line not merely edging out the older Pro but beating it outright: Gemini 3.8 Flash scored 40.9 at the high reasoning setting, 3.7 Flash 39.1, 3.6 Flash 34.0 and 3.5 Flash 32.6, against 29.7 for the flagship Gemini 3.1 Pro, with the budget 3.5 Flash-Lite at 22.2. The current v5.0.1, read 11 November 2026, scores only four Gemini models: Gemini 4 Carbon 60.0, Gemini 4 Argon 50.4, Gemini 3.8 Flash 30.8 and 3.5 Flash-Lite 11.7. It dropped 3.1 Pro and the 3.5 to 3.7 Flash models instead of rescoring them. Gemini 4 Hydrogen, released a day later, reads 51 at its default high setting and 54 at xhigh on the same v5 index, read 12 November 2026.

One warning about every Artificial Analysis number you will see quoted for Gemini, including the ones this guide carried before November 2026. AA has rescaled its index repeatedly, through v4.1.1, v4.2, v4.3, v4.3.2, v5.0 (27 October 2026) and v5.0.1, and each rescale moved every score at once without any model changing. Gemini 3.8 Flash read 59 on v4.1.1, 40.9 on v4.3.2 and 30.8 on v5.0.1; nothing about the model got worse. The v5.0.1 figures on this page were read on AA’s leaderboard and model pages on 11 November 2026, and Hydrogen’s v5 scores on 12 November. The v4.3.2 figures, kept where v5 has no score, date from 25 September 2026. Never compare a number from one version with a number from the other, and treat any bare index number without a version stamp as unusable.

Two details are worth pulling out. The first is that the Flash line had stopped being flat: on v4.1 3.5 and 3.6 Flash both scored 50, and on v4.3.2 they separated to 32.6 and 34.0, with 3.7 and 3.8 pulling away further. The second is that on v4.3.2 Gemini 3.1 Pro was only the fourth-highest-scoring model in its own family's table, an unusual position for a flagship, and v5 no longer scores it at all. Gemini 3.6's own gains still show up mostly in efficiency and agentic coding, with double-digit jumps on DeepSWE and MLE-Bench while using about 17% fewer output tokens than 3.5 Flash.

Benchmark progression across the Gemini family

Tracking a few key evals across releases shows the two tracks clearly. The Pro line climbs steadily on the hardest reasoning and coding tests, while the Flash line quietly catches the flagship on the composite index. Empty cells mean Google or Artificial Analysis has not published that number for the model.

Read down the Pro columns and the trend is a clean climb on Google's own evals, GPQA Diamond from 91.9% to 94.3% and SWE-Bench Verified from 63.8% through 76.2% to 80.6%. Read across the AA row and the story inverts: Flash has not closed the gap, it has overtaken, running from 32.6 to 40.9 while the flagship sits at 29.7. The honest reading is that the two measurements disagree because they measure different things. Google's numbers are single-eval scores on reasoning and code that 3.1 Pro genuinely leads; AA's composite folds in ten evaluations including long-context document work and agentic tasks, and on that basis a seven-month-old Pro model loses to a three-week-old Flash one. If your work looks like GPQA, take Pro. If it looks like everything else, Flash.

Which Gemini model should you use?

For most people, Gemini 4 Hydrogen is now the right default. Google has recommended it as the upgrade from 3.8 Flash since November 12, it costs $1.50 / $7.50 per 1M tokens with a free API tier, and it is the model the Gemini app lets you pick from AI Plus up. Gemini 3.8 Flash stays the cheaper API option at $0.75 / $3.75 until January, when it rises to the same rate. Step up to Gemini 4 Argon for the hardest reasoning on Google AI Pro, or to Gemini 4 Carbon on the paid API and AI Ultra, or Gemini 3.1 Pro for long-document work, and drop to Gemini 3.5 Flash-Lite when cost matters most. The table below maps common jobs to the model that fits.

If your main job is programming, Gemini 4 Hydrogen is the everyday pick, 3.8 Flash the cheaper API option until January, and Gemini 4 Carbon, at the same API price as Argon since November 10, is the ceiling for the toughest problems. One caveat for non-developers: 3.8 Flash is no longer on any Gemini app plan, and since October 9, 2026 the free tier runs on Auto, which answers most prompts with Flash-Lite and, since November 12, passes harder ones to Hydrogen. For a broader look at matching tasks to models across vendors, our guide on when to use which AI model covers the full field.

How Gemini stacks up against ChatGPT and Claude

Google’s strategy differs from its rivals. Instead of chasing a single maximum-benchmark flagship, it optimizes for practical versatility, multimodality, and deep integration across Search, Workspace, and Android. That is why the Flash tier gets so much attention, it is the model most people actually touch every day. For the Claude side in full, see the ultimate Claude model comparison.

This is the table that has moved most since the summer, and not in Google's favour. Both rivals replaced their flagships in September 2026, Anthropic added Claude Fable 5.2 on November 9, and Google’s answer came only on September 30, reaching the public on October 13. Gemini 3.1 Pro has no score on v5.0.1; on v4.3.2 it trailed GPT-6 Astra and Claude Opus 5.5 by 23 and 28 points. What survives is the price argument: Gemini 3.1 Pro is a fifth of Astra's input price and a quarter of its output price, and half of Opus 5.5's input. Google’s new flagship, Gemini 4 Argon, scores 50.4 on v5.0.1, 6.4 points behind Astra, 8.7 behind Opus 5.5 and 14.2 behind Fable 5.2, and since October 13 it is on the paid API at $2 / $10 until November 30. Google’s strongest model, Gemini 4 Carbon, sits between Opus 5.5 and Fable 5.2 at 60.0, and since November 10 it has been on the paid API at the same $2 / $10 as Argon until November 30. Google's cheaper answer is not its Pro tier at all. Since November 12 it is Gemini 4 Hydrogen, which scores 51 on the v5 index (read 12 November), one point above Argon, at $1.50 / $7.50 per 1M tokens, while Gemini 3.8 Flash scores 30.8 at $0.75 / $3.75.

All three flagships now handle around a million tokens of context, so the real trade-off is reasoning depth and price rather than window size. One practical difference, OpenAI and Anthropic allow far longer single responses at 128K output tokens versus Gemini’s 64K, which matters for large code generation or long reports. Gemini 4 Argon goes further with long decode, which stretches one response to about 1M tokens, though that budget is shared with the input and a normal request still stops at 65,536.

On Google's own evals 3.1 Pro competes with the top GPT-6 and Claude 5 models without leading the pack; on the independent composite it does not compete with them at all, and Flash is what punches above its price class. For the full cross-vendor picture, see our best AI models comparison and the deep-dive Gemini 3.5 review.

What’s next for Gemini (3.5 Pro and Gemini 4)

The first is Gemini 3.5 Pro, still stuck in partner testing after Google missed its own internal goals. In July the product team said only that it hoped the model would “land soon”, and in September Google DeepMind’s Koray Kavukcuoglu said Google “took a little bit of a step back” to focus on Flash. Google has not said whether 3.5 Pro will still ship.

The second has partly arrived. Google confirmed in July that it had begun its “most ambitious pre-training run yet” for Gemini 4, and on September 30, 2026 it announced Gemini 4 Argon, the first Gemini 4 model. Cyber defenders in Google’s Fairwind Program got it first, and on October 13 it opened to paid API customers and to Google AI Pro and Ultra subscribers. Gemini 4 Carbon followed on November 10 and Gemini 4 Hydrogen, the fast model, on November 12.

Use every top Gemini-class model without picking a version

The version maze this article just mapped is the real cost of picking a Gemini tier. Google AI Pro is $19.99 a month and still answers you with whichever release the app decides you get, and on the API side you are tracking which Flash rate is introductory and which Pro threshold doubles your bill.

Fello AI is a native Mac, iPhone and iPad app that gives you Gemini behind one subscription, along with ChatGPT, Claude, Grok, DeepSeek, Perplexity, Kimi, GLM and Qwen. It starts at $11.99 a month in the US (prices vary by country), $8 less than Google AI Pro, with a free tier to try first and a 4.7-star rating across 27,000+ reviews. Gemini is simply there when you open it, and you can put the same question to a rival model in the same conversation instead of committing to a version and a price table.

Conclusion

The honest Gemini model comparison for 2026 is a story of two tracks. Flash has sprinted to 3.8, three releases in 43 days and cheaper than ever, while Pro sits at 3.1 with 3.5 Pro still unreleased. For nearly everyone, start with Gemini 4 Hydrogen, Google’s recommended upgrade from 3.8 Flash since November 12, keep Gemini 3.8 Flash for cheaper API work until its rate rises in January, step up to Gemini 4 Argon on AI Pro, or Gemini 4 Carbon on the API and AI Ultra, for the hardest work, and drop to 3.5 Flash-Lite when budget rules. Gemini 4 Carbon, generally available since November 10 on the paid API and Google AI Ultra, now sits at the top of the map, with Argon one step below on AI Pro, and both carry an introductory price that ends November 30.

FAQ

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